Job Information
GE Aerospace Lead Engineer – Preprocessing Methods for Advanced Computational Design Systems in Bengaluru, India
Job Description Summary
As a Lead Engineer – Preprocessing Methods for Advanced Computational Design Systems, you will collaboratively advance methods and algorithms targeted at high-fidelity aero-thermal-combustion modeling and simulation for GE Aerospace commercial engine programs and technology demonstration programs such as RISE (Revolutionary Innovation for Sustainable Engines). You will be a key member of a team of technologists and engineers at GE Aerospace Research collaborating with the GE Aerospace business teams to deliver on our commitment to sustainability, safety and quality for our customers while advancing aerospace and defense for future generations.
Job Description
Roles and Responsibilities
Apply your knowledge in structured and unstructured preprocessing technology to develop robust and innovative methods and algorithms for aero-thermal-combustion modeling and simulation (LES) for compressors, combustors, and turbines on GPUs
Learn existing tools and methods already in use at GE Aerospace, and test & implement algorithms in existing framework
Support technology demonstrator and engine programs by delivering state of the art computational tools, methods and models for simulation and design
Deliver on technical projects meeting schedules and budgets, implement plans with guidance to meet technical requirements and document results
Participate in a global team on multi-generation technology programs to enable future design advancements, while executing tasks leveraging your technical skills
Network and collaborate with GE Aerospace Business and Research team members to identify opportunities for innovation, build plans and execute on technical projects
Required Qualifications
Ph.D. in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics with 4-8 years of experience, or M.S in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics with 8-10 years of experience specializing in computational geometry and preprocessing algorithms & methods
Experience with structured and/or unstructured preprocessing algorithms
Fundamental knowledge of data structures with application to pre-processing and/or geometry modeling
Demonstrated fundamental knowledge in CFD (computational fluid dynamics) applied for aerodynamics/combustion/heat transfer, evidenced by advanced graduate coursework and research
Proficiency in scientific computing and working knowledge of one of the high-level programming languages
Excellent oral and written communication skills
Demonstrated ability to work independently and in a team environment
Desired Characteristics
Ability to code in C / C++ / C# / Fortran preferred
Experience in scientific computing or computational methods
Experience with algorithms for GPUs
Experience / willingness to learn geometry tools like Siemens NX, and ANSYS tool suite (ICEMCFD, FLUENT, Workbench, SpaceClaim), Numeca and PointWise
Humble: respectful, receptive, agile, eager to learn
Transparent: shares critical information, speaks with candor, contributes constructively
Focused: quick learner, strategically prioritizes work, committed
Leadership ability: strong communicator, decision-maker, collaborative
Problem solver: analytical-minded, challenges existing processes, critical thinker
Required Qualifications:
Ph.D. in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics with 4-8 years of experience, or M.S in Aerospace/Mechanical Engineering/Computer Science/Applied Mathematics with 8-10 years of experience specializing in computational geometry and mesh generation
Experience with structured and/or unstructured mesh generation al
Additional Information
Relocation Assistance Provided: Yes